Your browser doesn't support javascript.
loading
Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.
Lee, Hayoung; Kim, Seung Il.
Afiliación
  • Lee H; Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Korea.
  • Kim SI; Bio-Analytical Science Division, University of Science and Technology (UST), Daejeon 34113, Korea.
Int J Mol Sci ; 23(4)2022 Feb 16.
Article en En | MEDLINE | ID: mdl-35216306
ABSTRACT
Rapid and precise diagnostic methods are required to control emerging infectious diseases effectively. Human body fluids are attractive clinical samples for discovering diagnostic targets because they reflect the clinical statuses of patients and most of them can be obtained with minimally invasive sampling processes. Body fluids are good reservoirs for infectious parasites, bacteria, and viruses. Therefore, recent clinical proteomics methods have focused on body fluids when aiming to discover human- or pathogen-originated diagnostic markers. Cutting-edge liquid chromatography-mass spectrometry (LC-MS)-based proteomics has been applied in this regard; it is considered one of the most sensitive and specific proteomics approaches. Here, the clinical characteristics of each body fluid, recent tandem mass spectroscopy (MS/MS) data-acquisition methods, and applications of body fluids for proteomics regarding infectious diseases (including the coronavirus disease of 2019 [COVID-19]), are summarized and discussed.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas / Enfermedades Transmisibles / Cromatografía Liquida / Técnicas Microbiológicas / Proteómica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas / Enfermedades Transmisibles / Cromatografía Liquida / Técnicas Microbiológicas / Proteómica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article